Rule Detection - Intermediate Level: shading rules INTERMEDIATE

PATTERN ANALYSIS:
Step 1: Examine the fill/shading in each figure
Step 2: Look for systematic changes in shading

RULE HYPOTHESIS:
The shading pattern adds one more filled segment each time

VERIFICATION:
Check pattern consistency across all four figures ✓

APPLICATION:
Based on the identified rule, the next figure should continue the pattern

SHADING ANALYSIS TECHNIQUES:
- Check for binary patterns (filled/unfilled)
- Look for cyclic color patterns
- Count filled vs unfilled elements
- Observe progressive filling patterns
- Check for symmetry in shading

COMMON MISTAKES TO AVOID:
- Missing subtle shading differences
- Not recognizing cyclic patterns
- Assuming random shading changes
- Overlooking progressive patterns

PATTERN ANALYSIS:
Step 1: Measure the radius of circles in each figure
- Figure 1: radius = 10 units
- Figure 2: radius = 20 units
- Figure 3: radius = 40 units
- Figure 4: radius = 80 units

Step 2: Calculate size changes between consecutive figures
- Fig 1 → 2: 20 ÷ 10 = 2×
- Fig 2 → 3: 40 ÷ 20 = 2×
- Fig 3 → 4: 80 ÷ 40 = 2×

RULE HYPOTHESIS:
The circle radius doubles each time (geometric progression)

VERIFICATION:
All consecutive ratios are consistent: 2× ✓

APPLICATION:
Figure 5 radius = 80 × 2 = 160 units

SCALING PATTERN TYPES:
- Geometric progression: constant r = 2

COMMON MISTAKES TO AVOID:
- Confusing diameter with radius
- Assuming linear when pattern is geometric (or vice versa)
- Miscounting the number of steps
- Not checking both differences AND ratios to identify pattern type

PATTERN ANALYSIS:
Step 1: Track the position of the dot in each figure
- Figure 1: Position at (40, 60)
- Figure 2: Position at (60, 40)
- Figure 3: Position at (80, 60)
- Figure 4: Position at (60, 80)

Step 2: Analyze movement vectors
- Fig 1→2: Δx = 20, Δy = -20
- Fig 2→3: Δx = 20, Δy = 20
- Fig 3→4: Δx = -20, Δy = 20

Step 3: Detect movement pattern
The dot follows a spiral inward pattern

RULE HYPOTHESIS:
Systematic positional movement following spiral inward pattern

VERIFICATION:
All movements conform to the identified pattern ✓

APPLICATION:
Next position: (50, 60)
Following the established spiral inward pattern

ADVANCED TECHNIQUES:
- Plot positions on coordinate system
- Check for symmetry and periodicity
- Analyze velocity and acceleration vectors
- Consider boundary conditions

COMMON MISTAKES TO AVOID:
- Assuming simple linear movement
- Not considering boundary reflections
- Missing rotational or circular patterns
- Ignoring spatial constraints

SET THEORY PATTERN ANALYSIS:

Step 1: Identify the sets
- Set A (Figure 1): Elements at specific positions
- Set B (Figure 2): Elements at specific positions

Step 2: Identify overlapping elements
- Compare positions in both sets
- Element at (50, 60) appears in BOTH sets

Step 3: Recognize the operation
- Operation symbol: ∩
- Operation type: Intersection (A ∩ B)

RULE HYPOTHESIS:
The rule is a Intersection (A ∩ B) operation

SET OPERATION DEFINITION:
Intersection (A ∩ B) contains only elements common to both sets

APPLICATION:
Set A has elements: {(40, 60), (50, 60)}
Set B has elements: {(50, 60), (70, 60)}

Intersection (A ∩ B) result:
- Common elements: {(50, 60)}
- A-only elements: {(40, 60)}
- B-only elements: {(70, 60)}

Result depends on operation:
- Union: All unique = {(40, 60), (50, 60), (70, 60)}
- Intersection: Common only = {(50, 60)}
- Difference: A-only = {(40, 60)}

SET THEORY PRINCIPLES:
- Union: A ∪ B = {x | x ∈ A OR x ∈ B}
- Intersection: A ∩ B = {x | x ∈ A AND x ∈ B}
- Difference: A − B = {x | x ∈ A AND x ∉ B}

COMMON MISTAKES TO AVOID:
- Confusing union with intersection
- Forgetting to remove duplicates in union
- Wrong order in difference operation (A−B ≠ B−A)
- Miscounting common elements

SET THEORY PATTERN ANALYSIS:

Step 1: Identify the sets
- Set A (Figure 1): Elements at specific positions
- Set B (Figure 2): Elements at specific positions

Step 2: Identify overlapping elements
- Compare positions in both sets
- Element at (50, 60) appears in BOTH sets

Step 3: Recognize the operation
- Operation symbol: ∩
- Operation type: Intersection (A ∩ B)

RULE HYPOTHESIS:
The rule is a Intersection (A ∩ B) operation

SET OPERATION DEFINITION:
Intersection (A ∩ B) contains only elements common to both sets

APPLICATION:
Set A has elements: {(40, 60), (50, 60)}
Set B has elements: {(50, 60), (70, 60)}

Intersection (A ∩ B) result:
- Common elements: {(50, 60)}
- A-only elements: {(40, 60)}
- B-only elements: {(70, 60)}

Result depends on operation:
- Union: All unique = {(40, 60), (50, 60), (70, 60)}
- Intersection: Common only = {(50, 60)}
- Difference: A-only = {(40, 60)}

SET THEORY PRINCIPLES:
- Union: A ∪ B = {x | x ∈ A OR x ∈ B}
- Intersection: A ∩ B = {x | x ∈ A AND x ∈ B}
- Difference: A − B = {x | x ∈ A AND x ∉ B}

COMMON MISTAKES TO AVOID:
- Confusing union with intersection
- Forgetting to remove duplicates in union
- Wrong order in difference operation (A−B ≠ B−A)
- Miscounting common elements

PATTERN ANALYSIS:
Step 1: Measure the radius of circles in each figure
- Figure 1: radius = 15 units
- Figure 2: radius = 20 units
- Figure 3: radius = 25 units
- Figure 4: radius = 30 units

Step 2: Calculate size changes between consecutive figures
- Fig 1 → 2: 20 - 15 = 5 units
- Fig 2 → 3: 25 - 20 = 5 units
- Fig 3 → 4: 30 - 25 = 5 units

RULE HYPOTHESIS:
The circle radius increases by 5 units (linear progression)

VERIFICATION:
All consecutive differences are consistent: 5 units ✓

APPLICATION:
Figure 5 radius = 30 + 5 = 35 units

SCALING PATTERN TYPES:
- Linear arithmetic progression: constant d = 5

COMMON MISTAKES TO AVOID:
- Confusing diameter with radius
- Assuming linear when pattern is geometric (or vice versa)
- Miscounting the number of steps
- Not checking both differences AND ratios to identify pattern type

PATTERN ANALYSIS:
Step 1: Examine the fill/shading in each figure
Step 2: Look for systematic changes in shading

RULE HYPOTHESIS:
The shading pattern alternates between filled and unfilled

VERIFICATION:
Check pattern consistency across all four figures ✓

APPLICATION:
Based on the identified rule, the next figure should continue the pattern

SHADING ANALYSIS TECHNIQUES:
- Check for binary patterns (filled/unfilled)
- Look for cyclic color patterns
- Count filled vs unfilled elements
- Observe progressive filling patterns
- Check for symmetry in shading

COMMON MISTAKES TO AVOID:
- Missing subtle shading differences
- Not recognizing cyclic patterns
- Assuming random shading changes
- Overlooking progressive patterns

PATTERN ANALYSIS:
Step 1: Examine Figure 1 and Figure 2 - note the orientation change
Step 2: Check if rotation: No consistent rotation angle found
Step 3: Check for reflection: Yes! Figure 2 is a mirror image of Figure 1
Step 4: Identify reflection axis: diagonal axis (top-left to bottom-right)
Step 5: Verify pattern: Figure 3 is reflection of Figure 2 (back to original orientation)

RULE HYPOTHESIS:
The figures alternate between original and reflected across diagonal axis (top-left to bottom-right)

VERIFICATION:
- Figure 1: Original position
- Figure 2: Reflected across diagonal axis (top-left to bottom-right) ✓
- Figure 3: Reflected back to original ✓

APPLICATION:
Figure 4 should be reflected version (same as Figure 2)
Pattern: Original → Reflected → Original → Reflected

COMMON MISTAKES TO AVOID:
- Confusing reflection with rotation
- Identifying wrong axis of reflection
- Not recognizing alternating pattern

PATTERN ANALYSIS:
Step 1: Examine the fill/shading in each figure
Step 2: Look for systematic changes in shading

RULE HYPOTHESIS:
The shading pattern alternates between filled and unfilled

VERIFICATION:
Check pattern consistency across all four figures ✓

APPLICATION:
Based on the identified rule, the next figure should continue the pattern

SHADING ANALYSIS TECHNIQUES:
- Check for binary patterns (filled/unfilled)
- Look for cyclic color patterns
- Count filled vs unfilled elements
- Observe progressive filling patterns
- Check for symmetry in shading

COMMON MISTAKES TO AVOID:
- Missing subtle shading differences
- Not recognizing cyclic patterns
- Assuming random shading changes
- Overlooking progressive patterns

SET THEORY PATTERN ANALYSIS:

Step 1: Identify the sets
- Set A (Figure 1): Elements at specific positions
- Set B (Figure 2): Elements at specific positions

Step 2: Identify overlapping elements
- Compare positions in both sets
- Element at (50, 60) appears in BOTH sets

Step 3: Recognize the operation
- Operation symbol: ∪
- Operation type: Union (A ∪ B)

RULE HYPOTHESIS:
The rule is a Union (A ∪ B) operation

SET OPERATION DEFINITION:
Union (A ∪ B) combines all elements from both sets (no duplicates)

APPLICATION:
Set A has elements: {(40, 60), (50, 60)}
Set B has elements: {(50, 60), (70, 60)}

Union (A ∪ B) result:
- Common elements: {(50, 60)}
- A-only elements: {(40, 60)}
- B-only elements: {(70, 60)}

Result depends on operation:
- Union: All unique = {(40, 60), (50, 60), (70, 60)}
- Intersection: Common only = {(50, 60)}
- Difference: A-only = {(40, 60)}

SET THEORY PRINCIPLES:
- Union: A ∪ B = {x | x ∈ A OR x ∈ B}
- Intersection: A ∩ B = {x | x ∈ A AND x ∈ B}
- Difference: A − B = {x | x ∈ A AND x ∉ B}

COMMON MISTAKES TO AVOID:
- Confusing union with intersection
- Forgetting to remove duplicates in union
- Wrong order in difference operation (A−B ≠ B−A)
- Miscounting common elements

SET THEORY PATTERN ANALYSIS:

Step 1: Identify the sets
- Set A (Figure 1): Elements at specific positions
- Set B (Figure 2): Elements at specific positions

Step 2: Identify overlapping elements
- Compare positions in both sets
- Element at (50, 60) appears in BOTH sets

Step 3: Recognize the operation
- Operation symbol: −
- Operation type: Difference (A − B)

RULE HYPOTHESIS:
The rule is a Difference (A − B) operation

SET OPERATION DEFINITION:
Difference (A − B) contains elements in A that are not in B

APPLICATION:
Set A has elements: {(40, 60), (50, 60)}
Set B has elements: {(50, 60), (70, 60)}

Difference (A − B) result:
- Common elements: {(50, 60)}
- A-only elements: {(40, 60)}
- B-only elements: {(70, 60)}

Result depends on operation:
- Union: All unique = {(40, 60), (50, 60), (70, 60)}
- Intersection: Common only = {(50, 60)}
- Difference: A-only = {(40, 60)}

SET THEORY PRINCIPLES:
- Union: A ∪ B = {x | x ∈ A OR x ∈ B}
- Intersection: A ∩ B = {x | x ∈ A AND x ∈ B}
- Difference: A − B = {x | x ∈ A AND x ∉ B}

COMMON MISTAKES TO AVOID:
- Confusing union with intersection
- Forgetting to remove duplicates in union
- Wrong order in difference operation (A−B ≠ B−A)
- Miscounting common elements

PATTERN ANALYSIS:
Step 1: Examine Figure 1 and Figure 2 - note the orientation change
Step 2: Check if rotation: No consistent rotation angle found
Step 3: Check for reflection: Yes! Figure 2 is a mirror image of Figure 1
Step 4: Identify reflection axis: vertical axis
Step 5: Verify pattern: Figure 3 is reflection of Figure 2 (back to original orientation)

RULE HYPOTHESIS:
The figures alternate between original and reflected across vertical axis

VERIFICATION:
- Figure 1: Original position
- Figure 2: Reflected across vertical axis ✓
- Figure 3: Reflected back to original ✓

APPLICATION:
Figure 4 should be reflected version (same as Figure 2)
Pattern: Original → Reflected → Original → Reflected

COMMON MISTAKES TO AVOID:
- Confusing reflection with rotation
- Identifying wrong axis of reflection
- Not recognizing alternating pattern

SET THEORY PATTERN ANALYSIS:

Step 1: Identify the sets
- Set A (Figure 1): Elements at specific positions
- Set B (Figure 2): Elements at specific positions

Step 2: Identify overlapping elements
- Compare positions in both sets
- Element at (50, 60) appears in BOTH sets

Step 3: Recognize the operation
- Operation symbol: ∩
- Operation type: Intersection (A ∩ B)

RULE HYPOTHESIS:
The rule is a Intersection (A ∩ B) operation

SET OPERATION DEFINITION:
Intersection (A ∩ B) contains only elements common to both sets

APPLICATION:
Set A has elements: {(40, 60), (50, 60)}
Set B has elements: {(50, 60), (70, 60)}

Intersection (A ∩ B) result:
- Common elements: {(50, 60)}
- A-only elements: {(40, 60)}
- B-only elements: {(70, 60)}

Result depends on operation:
- Union: All unique = {(40, 60), (50, 60), (70, 60)}
- Intersection: Common only = {(50, 60)}
- Difference: A-only = {(40, 60)}

SET THEORY PRINCIPLES:
- Union: A ∪ B = {x | x ∈ A OR x ∈ B}
- Intersection: A ∩ B = {x | x ∈ A AND x ∈ B}
- Difference: A − B = {x | x ∈ A AND x ∉ B}

COMMON MISTAKES TO AVOID:
- Confusing union with intersection
- Forgetting to remove duplicates in union
- Wrong order in difference operation (A−B ≠ B−A)
- Miscounting common elements

MULTI-DIMENSIONAL PATTERN ANALYSIS:

DIMENSION 1 - Row Pattern Analysis:
Step 1: Analyze Row 1 (keeping row constant, varying column)
- Col 1: Triangle at 0°
- Col 2: Triangle at 90°
- Col 3: Triangle at 180°

Row Rule: Each column adds +90° rotation

DIMENSION 2 - Column Pattern Analysis:
Step 2: Analyze Column 1 (keeping column constant, varying row)
- Row 1: Triangle (3 sides)
- Row 2: Square (4 sides)

Column Rule: Each row adds +1 side to the polygon

RULE INTEGRATION:
For any cell[row, col]:
- Base shape determined by row (row rule)
- Rotation determined by column (column rule)

VERIFICATION:
Test on known cells:
- Cell[1,1]: Triangle + 0° ✓
- Cell[1,2]: Triangle + 90° ✓
- Cell[1,3]: Triangle + 180° ✓
- Cell[2,1]: Square + 0° ✓
- Cell[2,2]: Square + 90° ✓

APPLICATION TO MISSING CELL:
Cell[2,3] should have:
- Shape from Row 2: Square (4 sides)
- Rotation from Col 3: 180°
- Result: Square rotated 180°

MATRIX PATTERN PRINCIPLES:
- Rows often control one property
- Columns often control another property
- Cell value = f(row_property, col_property)
- Both rules apply independently

SYSTEMATIC APPROACH:
1. Identify row-wise pattern (vary column)
2. Identify column-wise pattern (vary row)
3. Verify both patterns independently
4. Combine both rules for prediction
5. Cross-verify using diagonal patterns if present

COMMON MISTAKES TO AVOID:
- Analyzing only rows or only columns
- Not recognizing independent property control
- Mixing up row and column rules
- Failing to apply both rules to prediction
- Not verifying patterns across multiple rows/columns

SET THEORY PATTERN ANALYSIS:

Step 1: Identify the sets
- Set A (Figure 1): Elements at specific positions
- Set B (Figure 2): Elements at specific positions

Step 2: Identify overlapping elements
- Compare positions in both sets
- Element at (50, 60) appears in BOTH sets

Step 3: Recognize the operation
- Operation symbol: ∪
- Operation type: Union (A ∪ B)

RULE HYPOTHESIS:
The rule is a Union (A ∪ B) operation

SET OPERATION DEFINITION:
Union (A ∪ B) combines all elements from both sets (no duplicates)

APPLICATION:
Set A has elements: {(40, 60), (50, 60)}
Set B has elements: {(50, 60), (70, 60)}

Union (A ∪ B) result:
- Common elements: {(50, 60)}
- A-only elements: {(40, 60)}
- B-only elements: {(70, 60)}

Result depends on operation:
- Union: All unique = {(40, 60), (50, 60), (70, 60)}
- Intersection: Common only = {(50, 60)}
- Difference: A-only = {(40, 60)}

SET THEORY PRINCIPLES:
- Union: A ∪ B = {x | x ∈ A OR x ∈ B}
- Intersection: A ∩ B = {x | x ∈ A AND x ∈ B}
- Difference: A − B = {x | x ∈ A AND x ∉ B}

COMMON MISTAKES TO AVOID:
- Confusing union with intersection
- Forgetting to remove duplicates in union
- Wrong order in difference operation (A−B ≠ B−A)
- Miscounting common elements

PATTERN ANALYSIS:
Step 1: Compare consecutive figures - observe the orientation changes
Step 2: Measure rotation angle between Figure 1 and Figure 2 = 90°
Step 3: Verify this pattern: Figure 2→3 also shows 90° rotation
Step 4: Verify Figure 3→4 also follows the same 90° rotation

RULE HYPOTHESIS:
The figure rotates clockwise by 90° in each step

VERIFICATION:
- Figure 1 to 2: 90° clockwise ✓
- Figure 2 to 3: 90° clockwise ✓
- Figure 3 to 4: 90° clockwise ✓

APPLICATION:
Figure 5 should be Figure 4 rotated clockwise by 90°
Total rotation from start = 360°

COMMON MISTAKES TO AVOID:
- Confusing clockwise with counterclockwise rotation
- Measuring rotation incorrectly
- Assuming different rotation angles

PATTERN ANALYSIS:
Step 1: Compare consecutive figures - observe the orientation changes
Step 2: Measure rotation angle between Figure 1 and Figure 2 = 90°
Step 3: Verify this pattern: Figure 2→3 also shows 90° rotation
Step 4: Verify Figure 3→4 also follows the same 90° rotation

RULE HYPOTHESIS:
The figure rotates clockwise by 90° in each step

VERIFICATION:
- Figure 1 to 2: 90° clockwise ✓
- Figure 2 to 3: 90° clockwise ✓
- Figure 3 to 4: 90° clockwise ✓

APPLICATION:
Figure 5 should be Figure 4 rotated clockwise by 90°
Total rotation from start = 360°

COMMON MISTAKES TO AVOID:
- Confusing clockwise with counterclockwise rotation
- Measuring rotation incorrectly
- Assuming different rotation angles

PATTERN ANALYSIS:
Step 1: Examine the fill/shading in each figure
Step 2: Look for systematic changes in shading

RULE HYPOTHESIS:
The shading pattern alternates between filled and unfilled

VERIFICATION:
Check pattern consistency across all four figures ✓

APPLICATION:
Based on the identified rule, the next figure should continue the pattern

SHADING ANALYSIS TECHNIQUES:
- Check for binary patterns (filled/unfilled)
- Look for cyclic color patterns
- Count filled vs unfilled elements
- Observe progressive filling patterns
- Check for symmetry in shading

COMMON MISTAKES TO AVOID:
- Missing subtle shading differences
- Not recognizing cyclic patterns
- Assuming random shading changes
- Overlooking progressive patterns

MULTI-DIMENSIONAL PATTERN ANALYSIS:

Transformation 1 - Rotation Analysis:
Step 1: Measure rotation angles
- Figure 1: 0°
- Figure 2: 45°
- Figure 3: 90°
- Figure 4: 135°

Rotation increment: +45° per step ✓

Transformation 2 - Size Analysis:
Step 2: Measure square dimensions
- Figure 1: 15 units
- Figure 2: 18 units
- Figure 3: 21 units
- Figure 4: 24 units

Size increment: +3 units per step ✓

COMBINED RULE HYPOTHESIS:
TWO simultaneous transformations:
1. Rotation: +45° clockwise per step
2. Scaling: +3 units per step

VERIFICATION:
Both patterns verified independently ✓
Check for correlation: None (independent transformations) ✓

APPLICATION:
Figure 5 predictions:
- Rotation: 135° + 45° = 180°
- Size: 24 + 3 = 27 units

ADVANCED MULTI-RULE DETECTION:
- Decompose complex transformations
- Analyze each dimension independently
- Verify pattern consistency for each rule
- Check for rule interactions or dependencies
- Combine predictions from all rules

COMMON MISTAKES TO AVOID:
- Focusing on only one transformation
- Missing the scaling while tracking rotation
- Not verifying both patterns independently
- Assuming transformations must be related
- Incomplete pattern analysis

PATTERN ANALYSIS:
Step 1: Count elements in each figure
- Figure 1: 6 squares
- Figure 2: 5 squares
- Figure 3: 4 squares
- Figure 4: 3 squares

Step 2: Calculate differences between consecutive figures
- Fig 2 - Fig 1 = -1
- Fig 3 - Fig 2 = -1
- Fig 4 - Fig 3 = -1

RULE HYPOTHESIS:
The number of squares is decreasing by 1 in each step

VERIFICATION:
All consecutive differences are consistent: -1 ✓

APPLICATION:
Figure 5 should have 3 -1 = 2 squares

COMMON MISTAKES TO AVOID:
- Miscounting elements in figures
- Not checking all consecutive differences
- Assuming non-linear progressions too early